63 citations · 109 across the 7 of their papers we have counts for
11 papers
Texture Representation via Analysis and Synthesis with Generative Adversarial Networks
Jue Lin, Gaurav Sharma, Thrasyvoulos N. Pappas
We investigate data-driven texture modeling via analysis and synthesis with generative adversarial networks. For network training and testing, we have compiled a diverse set of spa…
K-12BERT: BERT for K-12 education
Vasu Goel, Dhruv Sahnan, Venktesh V +3
Online education platforms are powered by various NLP pipelines, which utilize models like BERT to aid in content curation. Since the inception of the pre-trained language models l…
Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2
Jue Lin, Gaurav Sharma, Thrasyvoulos N. Pappas
We present a new approach for universal texture synthesis by incorporating a multi-scale texton broadcasting module in the StyleGAN-2 framework. The texton broadcasting module intr…
Beyond Image to Depth: Improving Depth Prediction using Echoes
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
We address the problem of estimating depth with multi modal audio visual data. Inspired by the ability of animals, such as bats and dolphins, to infer distance of objects with echo…
Deep fusion of visual signatures for client-server facial analysis
Binod Bhattarai, Gaurav Sharma, Frederic Jurie
Facial analysis is a key technology for enabling human-machine interaction. In this context, we present a client-server framework, where a client transmits the signature of a face…
Discriminatively Trained Latent Ordinal Model for Video Classification
Karan Sikka, Gaurav Sharma
We study the problem of video classification for facial analysis and human action recognition. We propose a novel weakly supervised learning method that models the video as a seque…
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval
Binod Bhattarai, Gaurav Sharma, Frederic Jurie
We propose a novel Coupled Projection multi-task Metric Learning (CP-mtML) method for large scale face retrieval. In contrast to previous works which were limited to low dimensiona…
Latent Embeddings for Zero-shot Classification
Yongqin Xian, Zeynep Akata, Gaurav Sharma +3
We present a novel latent embedding model for learning a compatibility function between image and class embeddings, in the context of zero-shot classification. The proposed method…
Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns
Gaurav Sharma, Frederic Jurie
We propose a new image representation for texture categorization and facial analysis, relying on the use of higher-order local differential statistics as features. It has been rece…
Scalable Nonlinear Embeddings for Semantic Category-based Image Retrieval
Gaurav Sharma, Bernt Schiele
We propose a novel algorithm for the task of supervised discriminative distance learning by nonlinearly embedding vectors into a low dimensional Euclidean space. We work in the cha…
Expanded Parts Model for Semantic Description of Humans in Still Images
Gaurav Sharma, Frederic Jurie, Cordelia Schmid
We introduce an Expanded Parts Model (EPM) for recognizing human attributes (e.g. young, short hair, wearing suit) and actions (e.g. running, jumping) in still images. An EPM is a…